Here’s what they told us when we asked, “How have you seen IoT change since you began working on it?”

1) Convergence of cheap microprocessors, radios, low power passive sensors; 2) inexpensive rapid prototyping; 3) crowdfunding that enables companies to get their product to the market more quickly.

Customers drive change with development of IoT products that are a blend of hardware and software. It’s no longer just about asset lifecycle management (ALM), it’s also about product lifecycle management (PLM) and the complexity of the management process. You now have two pipelines and lifecycles with most clients split between the cloud and inside the firewall with hybrid solutions. For example, Quicken has some of its own datacenters and that code will never be seen outside the firewall but they also have AWS. Few companies are 100% cloud-based like Netflix who builds everything themselves.

There have been multiple iterations from M2M, RFID, ZigBee, and IoT connecting widely dispersed devices to a central location. The cloud, internet and mobile have allowed us to collect more and more data. Now we need to determine how to organize it, put it together, analyze it, and generate meaningful insights to improve the customer experience.

Industry enhanced security. More IoT products are in the market. Proliferation of devices leads to more passwords and need for control.

The hype around IoT has evolved from consumer to industrial IoT. The physical and digital world are merging providing new opportunities for business models with consumers. Insurance companies can install a device in your car that can lead to discounted premiums. Look at the number of industrial applications. Electronics already contain a lot of sensors. You can now connect all of these sensors to the cloud, collect the data and have machine learning.

We’ve seen IoT crossover to other technology. More people want solutions to problems, especially in B2B where end-to-end solutions need APIs. More sensors = more data = more analytics = machine learning. People continue to collect all the data their sensors are churning out but they don’t know how to analyze it or even what to do with it. When you have 20 sensors, you’re producing too much data. There’s a lack of strategic thinking around IoT and data collection. You only need to collect and transfer exceptions. Drones, cameras and voice recognition will ultimately be controlled by IoT devices.

How have you seen the internet of things changes since you've been involved with the technology?